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Single-cell multi-omics analysis identifies two distinct phenotypes of newly-onset microscopic polyangiitis

The immunological basis of the clinical heterogeneity in autoimmune vasculitis remains poorly understood. In this study, we conduct single-cell transcriptome analyses on peripheral blood mononuclear cells (PBMCs) from newly-onset patients with microscopic polyangiitis (MPA). Increased proportions of...

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Detalles Bibliográficos
Autores principales: Nishide, Masayuki, Nishimura, Kei, Matsushita, Hiroaki, Edahiro, Ryuya, Inukai, Sachi, Shimagami, Hiroshi, Kawada, Shoji, Kato, Yasuhiro, Kawasaki, Takahiro, Tsujimoto, Kohei, Kamon, Hokuto, Omiya, Ryusuke, Okada, Yukinori, Hattori, Kunihiro, Narazaki, Masashi, Kumanogoh, Atsushi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10567716/
https://www.ncbi.nlm.nih.gov/pubmed/37821442
http://dx.doi.org/10.1038/s41467-023-41328-0
Descripción
Sumario:The immunological basis of the clinical heterogeneity in autoimmune vasculitis remains poorly understood. In this study, we conduct single-cell transcriptome analyses on peripheral blood mononuclear cells (PBMCs) from newly-onset patients with microscopic polyangiitis (MPA). Increased proportions of activated CD14(+) monocytes and CD14(+) monocytes expressing interferon signature genes (ISGs) are distinctive features of MPA. Patient-specific analysis further classifies MPA into two groups. The MPA-MONO group is characterized by a high proportion of activated CD14(+) monocytes, which persist before and after immunosuppressive therapy. These patients are clinically defined by increased monocyte ratio in the total PBMC count and have a high relapse rate. The MPA-IFN group is characterized by a high proportion of ISG(+) CD14(+) monocytes. These patients are clinically defined by high serum interferon-alpha concentrations and show good response to immunosuppressive therapy. Our findings identify the immunological phenotypes of MPA and provide clinical insights for personalized treatment and accurate prognostic prediction.